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AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data.

, , , , , and . ECML/PKDD (3), volume 8190 of Lecture Notes in Computer Science, page 663-666. Springer, (2013)

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Other publications of authors with the same name

Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining., , , and . PiLBA, volume 397 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots., , , , and . ITSC, page 53-58. IEEE, (2013)Cityride: A Predictive Bike Sharing Journey Advisor., , and . MDM, page 306-311. IEEE Computer Society, (2012)Temporal analysis of process logs: a case study., , , and . SEBD, page 430-437. (2008)Predicting User Engagement in Twitter with Collaborative Ranking., , , , , , and . CoRR, (2014)Location prediction within the mobility data analysis environment DAEDALUS., , , and . MobiQuitous, ICST / ACM, (2008)Trajectory pattern mining., , , and . KDD, page 330-339. ACM, (2007)Towards real-time customer experience prediction for telecommunication operators., , , , , , , , , and . BigData, page 1063-1072. IEEE Computer Society, (2015)Exploring Real Mobility Data with M-Atlas., , , , , , , and . ECML/PKDD (3), volume 6323 of Lecture Notes in Computer Science, page 624-627. Springer, (2010)Inferring Unusual Crowd Events from Mobile Phone Call Detail Records., , , , , and . ECML/PKDD (2), volume 9285 of Lecture Notes in Computer Science, page 474-492. Springer, (2015)